Multi-Instance Setup

The Multi-Instance Setup enables a prod (manager) instance to manage multiple sub-prod (managed) instances and facilitate communication for AI Control Tower.

AI asset Synchronization

The Multi-Instance Framework synchronizes assets from sub-prod instances to the manager instance, enabling faster review processes.

The framework also synchronizes rules from the prod instance to all sub-prod instances.

Note:

Starting with the May 2026 release, confirm that both the prod and sub-prod instances are running the same AI Control Tower core version (6.2.4), which is the minimum supported version.

Upgrade the prod instance to version 6.2.4 when you upgrade a sub-prod instance to confirm the Multi-Instance Framework functions correctly.

AI inventory information

You can include the sub-prod instances to synchronize with the prod instance. This synchronization enables AI inventory information to flow between the instances.

When configured, the scheduled job synchronizes AI systems, AI models, prompts, and datasets across instances. Staring with the September (2025) release, the job also synchronizes AI agents.

Note:

State of the assets while configuring Multi-Instance management.

The production AI inventory displays the actual state of your assets like models, datasets, and skills from a production perspective. However, assets that are active in a sub-prod instance environment remain classified as under development from the sub-prod instance perspective because they are still in testing and not yet live.

Due to this distinction, asset states remain separate across environments and don't synchronize. An asset's state transitions to deployed only when the asset and its related records are activated in the production system.

In summary, the state indicates the asset's complete lifecycle progression, not its status within any single environment.

Data sharing preference

Enable the data sharing preference to apply the production settings to all sub-prod instances. By default, this preference is turned off.

Data overflow processing and bursting preference

Enable data overflow processing and bursting preferences to apply the production settings to all sub-prod instances. By default, these preferences are turned off.

Note:

All the preferences mentioned earlier for a sub-prod instance are available in read-only mode, when Multi-Instance is configured and enabled.

For information about configuring Multi-instance management for AI Control Tower, see Configure Multi-instance management for AI Control Tower

For information on Data section, see Data sharing, Data overflow processing, and Security & privacy in AI Control Tower